Run
18472

Run 18472

Task 50 (Supervised Classification) heart-h Uploaded 10-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_BFTree(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_BFTree(1)_I40
weka.AdaBoostM1_BFTree(1)_P100
weka.AdaBoostM1_BFTree(1)_S1
weka.AdaBoostM1_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8128
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7803
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.52
Cross-validation details (10-fold Crossvalidation)
KB relative information score
142.7231
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0864
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1867
Cross-validation details (10-fold Crossvalidation)
Number of instances
294
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7795
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7823
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.0314
Cross-validation details (10-fold Crossvalidation)
Recall
0.7823
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4625
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3037
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2886
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9504
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
936.8567[556.90953288490741007.294835592371480.2065271424506901.14818569603221738.7243798011214]